Results 101 to 110 of about 32,281 (296)
Automated Dynamic Flow Experimentation for Rapid Kinetic Fitting of Transition Metal Catalysis
Angewandte Chemie, EarlyView.We have developed an automated dynamic flow experimentation platform to automatically fit and identify the most accurate kinetic model from a generated set of candidates. Three transition metal‐catalyzed transformations were performed using this workflow.
Florian L. Wagner +3 more
wiley +2 more sources
Bayesian Estimation of a DSGE Model with Inventories [PDF]
This paper introduces inventories in an otherwise standard Dynamic Stochastic General Equilibrium Model (DSGE) of the business cycle. Firms accumulate inventories to facilitate sales, but face a cost of doing so in terms of costly storage of intermediate
Marcel Foerster
core
Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Interval estimation of genetic susceptibility for retrospective case-control studies
BMC Genetics, 2004 Background This article describes classical and Bayesian interval estimation of genetic susceptibility based on random samples with pre-specified numbers of unrelated cases and controls.
Meng Zhaoling +2 more
doaj +1 more source
Bayesian equilibrium: From local to global
Journal of Mathematical EconomicszbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
The existence and uniqueness of monotone pure strategy equilibrium in Bayesian games [PDF]
This paper provides a sufficient condition for existence and uniqueness of equilibrium, which is in monotone pure strategies, in games of incomplete information.
Valentinyi, Ãkos, Mason, Robin
core
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
Advanced Intelligent Discovery, EarlyView.This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
WSN malware infection model based on cellular automaton and static Bayesian game
Dianxin kexue, 2019 The theoretical model for the malware infection in wireless sensor networks (WSN) based on cellular automaton and static Bayesian game was studied.Firstly,the malware infection model of WSN based on cellular automaton was built.Secondly,the malware ...
Hong ZHANG +3 more
doaj +2 more sources
Patent Quality and Pro-patent Policy
Journal of Technology Management & Innovation, 2010 This paper analyzes the patent examination and litigation process in terms of a simple Perfect Bayesian Equilibrium model, and interprets the results in line with real pro-patent trends in the US and other countries.
Koki Arai
doaj +1 more source
Toward Intelligent Multimodal Holography for Real‐Time Chemical Imaging of Dynamic Ion Separation
Advanced Intelligent Discovery, EarlyView.Intelligent multimodal holography integrates digital off‐axis holography, spectroscopic imaging, and AI‐driven reconstruction to visualize ion transport and chemical dynamics in real time. In this perspective paper, we outline how this approach enables label‐free, chemically specific monitoring of complex environments and discuss its potential to ...
Giovanna Ricchiuti +3 more
wiley +1 more source